Probabilistic characterisation of rock mass deformation modulus from P-wave velocity based on information criteria-Reference-Cited by-同舟云学术

Probabilistic characterisation of rock mass deformation modulus from P-wave velocity based on information criteria

Published:2024-03-10 Issue:2 Volume:18 Page:317-332
ISSN:1749-9518
Container-title:Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
language:en
Short-container-title:Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards

Author:

Zhang Qi¹²^ORCID,Huang Xianbin³⁴,Guo Xiaokang¹,Wang Ning¹,Zhang Guozhu⁵,Pei Yuechao¹

Affiliation:

1. School of Civil Engineering, Southeast University, Nanjing, People’s Republic of China

2. State Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining & Technology, Xuzhou, People’s Republic of China

3. Shanghai Municipal Engineering Design Institute (Group) Co., Ltd, Shanghai, People’s Republic of China

4. Department of Geotechnical Engineering, Tongji University, Shanghai, People’s Republic of China

5. School of Transportation, Southeast University, Nanjing, People’s Republic of China

Funder

National Natural Science Foundation of China

State Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining and Technology

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17499518.2024.2328190

Reference98 articles.

1. Optimised multivariate Gaussians for probabilistic subsurface characterisation

2. Estimation of limestone rock mass deformation modulus using empirical equations

3. Akaike, H. 1973. “Information Theory and an Extension of the Maximum Likelihood Principle.” In The Second International Symposium on Information Theory, edited by B. N. Pertaran, and F. Csaaki, 267–281. Budapest, HU: Acadeemiai Kiadi.

4. A simple regression based approach to estimate deformation modulus of rock masses

5. Ang, A. H. S., and W. H. Tang. 2007. Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering. Hoboken, NJ: John Wiley & Sons.